A generic MLP-Mixer trained with local low-rank subset and occlusion losses reconstructs 3D non-rigid shapes from 2D keypoints, cutting S-Up3D reconstruction error by over 70%.
Trajectory space: A dual representation for nonrigid struc- ture from motion
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Unsupervised 2D-3D lifting of non-rigid objects using local constraints
A generic MLP-Mixer trained with local low-rank subset and occlusion losses reconstructs 3D non-rigid shapes from 2D keypoints, cutting S-Up3D reconstruction error by over 70%.